Instinctive Computing
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Beschreibung
This book attempts to connect artificial intelligence to primitive intelligence. It explores the idea that a genuinely intelligent computer will be able to interact naturally with humans. To form this bridge, computers need the ability to recognize, understand and even have instincts similar to humans.
The author organizes the book into three parts. He starts by describing primitive problem-solving, discussing topics like default mode, learning, tool-making, pheromones and foraging. Part two then explores behavioral models of instinctive cognition by looking at the perception of motion and event patterns, appearance and gesture, behavioral dynamics, figurative thinking, and creativity. The book concludes by exploring instinctive computing in modern cybernetics, including models of self-awareness, stealth, visual privacy, navigation, autonomy, and survivability.
Instinctive Computing reflects upon systematic thinking for designing cyber-physical systems and it would be a stimulating reading for those who are interested in artificial intelligence, cybernetics, ethology, human-computer interaction, data science, computer science, security and privacy, social media, or autonomous robots.
Explores connections between artificial intelligence and natural intelligence Presents novel models and algorithms such as the self-awareness model, the euphoria behavioral model, analogia graph, and the Hansel and Gretel tessellation algorithm Provides a wide range of in-depth real-world examples for students, researchers, analysts, engineers, and managers
Autor*in
Yang Cai
Themen in »Instinctive Computing«
Artificial Intelligence (AI) Human-Computer Interaction (HCI) Instinctive Computing Robotics Primative Problem Solving Behavioral Models
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“This is a very well-written and well-organized book with a massive collection of references. It also contains a useful index, which will assist the reader with navigation. … it will certainly pique the interest of students and professionals within the computing field. Summing Up: Recommended. Graduate students, faculty, and professionals.” (J. Beidler, Choice, Vol. 54 (12), August, 2017)
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